developer_uid: zonemercy
submission_id: mistralai-mistral-nemo_9330_v223
model_name: tempv1-0
model_group: mistralai/Mistral-Nemo-I
status: torndown
timestamp: 2024-12-26T21:42:01+00:00
num_battles: 12975
num_wins: 6028
celo_rating: 1243.45
family_friendly_score: 0.5944
family_friendly_standard_error: 0.006943898616771417
submission_type: basic
model_repo: mistralai/Mistral-Nemo-Instruct-2407
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 4
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.6335190568382453, 'latency_mean': 1.5784169447422027, 'latency_p50': 1.586326241493225, 'latency_p90': 1.7386156797409058}, {'batch_size': 3, 'throughput': 1.262153954652979, 'latency_mean': 2.3648768258094788, 'latency_p50': 2.3517926931381226, 'latency_p90': 2.5777443170547487}, {'batch_size': 5, 'throughput': 1.584150248744362, 'latency_mean': 3.137345396280289, 'latency_p50': 3.1336954832077026, 'latency_p90': 3.486103343963623}, {'batch_size': 6, 'throughput': 1.7087364550463788, 'latency_mean': 3.4849145615100863, 'latency_p50': 3.4878534078598022, 'latency_p90': 3.944377303123474}, {'batch_size': 8, 'throughput': 1.8581187949770652, 'latency_mean': 4.2847972989082335, 'latency_p50': 4.29080069065094, 'latency_p90': 4.793791317939759}, {'batch_size': 10, 'throughput': 1.9645605658835832, 'latency_mean': 5.053073023557663, 'latency_p50': 5.073479533195496, 'latency_p90': 5.678412985801697}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: tempv1-0
is_internal_developer: True
language_model: mistralai/Mistral-Nemo-Instruct-2407
model_size: 13B
ranking_group: single
throughput_3p7s: 1.77
us_pacific_date: 2024-12-26
win_ratio: 0.46458574181117535
generation_params: {'temperature': 0.9, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['</s>', 'Bot:', 'You:', '####', '<|im_end|>', 'User:', '\n', '<|eot_id|>'], 'max_input_tokens': 1024, 'best_of': 4, 'max_output_tokens': 64}
formatter: {'memory_template': '', 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}
Resubmit model
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name mistralai-mistral-nemo-9330-v223-mkmlizer
Waiting for job on mistralai-mistral-nemo-9330-v223-mkmlizer to finish
mistralai-mistral-nemo-9330-v223-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nemo-9330-v223-mkmlizer: ║     _____            __           __                                ║
mistralai-mistral-nemo-9330-v223-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
mistralai-mistral-nemo-9330-v223-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mistral-nemo-9330-v223-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mistral-nemo-9330-v223-mkmlizer: ║       /___/                                                         ║
mistralai-mistral-nemo-9330-v223-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v223-mkmlizer: ║  Version: 0.11.12                                                   ║
mistralai-mistral-nemo-9330-v223-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mistral-nemo-9330-v223-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mistral-nemo-9330-v223-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v223-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mistral-nemo-9330-v223-mkmlizer: ║  belonging to:                                                      ║
mistralai-mistral-nemo-9330-v223-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v223-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mistral-nemo-9330-v223-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mistral-nemo-9330-v223-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
mistralai-mistral-nemo-9330-v223-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v223-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nemo-9330-v223-mkmlizer: Downloaded to shared memory in 56.774s
mistralai-mistral-nemo-9330-v223-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp5y5ax9eg, device:0
mistralai-mistral-nemo-9330-v223-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nemo-9330-v223-mkmlizer: quantized model in 40.200s
mistralai-mistral-nemo-9330-v223-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 96.974s
mistralai-mistral-nemo-9330-v223-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nemo-9330-v223-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v223
mistralai-mistral-nemo-9330-v223-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v223/config.json
mistralai-mistral-nemo-9330-v223-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v223/special_tokens_map.json
mistralai-mistral-nemo-9330-v223-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v223/tokenizer_config.json
mistralai-mistral-nemo-9330-v223-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v223/tokenizer.json
mistralai-mistral-nemo-9330-v223-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v223/flywheel_model.0.safetensors
mistralai-mistral-nemo-9330-v223-mkmlizer: 
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Job mistralai-mistral-nemo-9330-v223-mkmlizer completed after 124.93s with status: succeeded
Stopping job with name mistralai-mistral-nemo-9330-v223-mkmlizer
Pipeline stage MKMLizer completed in 125.38s
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Pipeline stage MKMLTemplater completed in 0.18s
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Running pipeline stage MKMLDeployer
Creating inference service mistralai-mistral-nemo-9330-v223
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Inference service mistralai-mistral-nemo-9330-v223 ready after 261.39947605133057s
Pipeline stage MKMLDeployer completed in 261.96s
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Running pipeline stage StressChecker
Received healthy response to inference request in 1.4819624423980713s
Received healthy response to inference request in 1.4981458187103271s
Received healthy response to inference request in 1.116182804107666s
Received healthy response to inference request in 1.1734955310821533s
Received healthy response to inference request in 0.6338174343109131s
5 requests
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5th percentile: 0.7302905082702636
10th percentile: 0.8267635822296142
20th percentile: 1.0197097301483153
30th percentile: 1.1276453495025636
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50th percentile: 1.1734955310821533
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70th percentile: 1.4202690601348877
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90th percentile: 1.4916724681854248
95th percentile: 1.494909143447876
99th percentile: 1.4974984836578369
mean time: 1.1807208061218262
Pipeline stage StressChecker completed in 7.28s
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Running pipeline stage OfflineFamilyFriendlyScorer
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mistralai-mistral-nemo_9330_v223 status is now torndown due to DeploymentManager action